AIMC Journal:
Computer methods and programs in biomedicine

Showing 321 to 330 of 844 articles

Femoral image segmentation based on two-stage convolutional network using 3D-DMFNet and 3D-ResUnet.

Computer methods and programs in biomedicine Sep 6, 2022
OBJECTIVE: The femur is a typical human long bone with an irregular spatial structure. Femoral fractures are the most common occurrence in middle-aged and older adults. The structure of human bone tissue is very complex, and there are significant dif...
Algorithms Aged Humans Neural Networks, Computer Femur Imaging, Three-Dimensional Image Processing, Computer-Assisted Middle Aged
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Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.

Computer methods and programs in biomedicine Sep 2, 2022
BACKGROUND AND OBJECTIVE: Deep learning-based methods for fast target segmentation of magnetic resonance imaging (MRI) have become increasingly popular in recent years. Generally, the success of deep learning methods in medical image segmentation tas...
Supervised Machine Learning Humans Uncertainty Neural Networks, Computer Magnetic Resonance Imaging Image Processing, Computer-Assisted
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IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.

Computer methods and programs in biomedicine Sep 2, 2022
BACKGROUND AND OBJECTIVE: Tiny spike-like projections on the basement membrane of glomeruli are the main pathological feature of membranous nephropathy at stage II (MN II), which is the most significant stage for the diagnosis and treatment of renal ...
Kidney Diseases Kidney Glomerulus Humans Machine Learning
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Human-computer interaction based health diagnostics using ResNet34 for tongue image classification.

Computer methods and programs in biomedicine Aug 28, 2022
BACKGROUND AND OBJECTIVE: Tongue diagnosis is one of the characteristics of traditional Chinese medicine (TCM), but traditional tongue diagnosis is affected by many factors, and its differential diagnosis results are not widely recognized. The appear...
Algorithms Humans Computers Neural Networks, Computer Artificial Intelligence Tongue
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iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.

Computer methods and programs in biomedicine Aug 28, 2022
BACKGROUND AND OBJECTIVE: The promoter is a fragment of DNA and a specific sequence with transcriptional regulation function in DNA. Promoters are located upstream at the transcription start site, which is used to initiate downstream gene expression....
Promoter Regions, Genetic Neural Networks, Computer
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ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.

Computer methods and programs in biomedicine Aug 28, 2022
BACKGROUND AND OBJECTIVE: Emotion is an important factor affecting a person's physical and mental health, but there are few ways to detect a patient's emotions in daily life. Negative emotions not only affect recovery after treatment, but also cause ...
Humans Emotions Electroencephalography Neural Networks, Computer Algorithms Support Vector Machine
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PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.

Computer methods and programs in biomedicine Aug 28, 2022
BACKGROUND AND OBJECTIVE: Recent studies have shown that colorectal cancer (CRC) patients with microsatellite instability high (MSI-H) are more likely to benefit from immunotherapy. However, current MSI testing methods are not available for all patie...
Humans Neural Networks, Computer Microsatellite Instability Colorectal Neoplasms Retrospective Studies Deep Learning
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Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability.

Computer methods and programs in biomedicine Aug 24, 2022
BACKGROUND AND OBJECTIVE: Neuromuscular disorders are diseases that damage our ability to control body movements. Needle electromyography (nEMG) is often used to diagnose neuromuscular disorders, which is an electrophysiological test measuring electr...
Electromyography Neural Networks, Computer Humans Movement Algorithms
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C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultrasound images segmentation.

Computer methods and programs in biomedicine Aug 24, 2022
BACKGROUND AND OBJECTIVE: Breast lesions segmentation is an important step of computer-aided diagnosis system. However, speckle noise, heterogeneous structure, and similar intensity distributions bring challenges for breast lesion segmentation.
Breast Image Processing, Computer-Assisted Ultrasonography, Mammary Ultrasonography Humans Neural Networks, Computer Female
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Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

Computer methods and programs in biomedicine Aug 11, 2022
PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the patient's condition, reduce the misdiagnosis and mortality rate of cardiovascul...
Magnetic Resonance Imaging Aorta Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed Deep Learning
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